redistimeseries-py | RedisTimeSeries python client | Command Line Interface library

 by   RedisTimeSeries Python Version: v1.4.5 License: BSD-3-Clause

kandi X-RAY | redistimeseries-py Summary

kandi X-RAY | redistimeseries-py Summary

redistimeseries-py is a Python library typically used in Utilities, Command Line Interface applications. redistimeseries-py has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However redistimeseries-py build file is not available. You can install using 'pip install redistimeseries-py' or download it from GitHub, PyPI.

redistimeseries-py is a package that gives developers easy access to RedisTimeSeries module. The package extends redis-py's interface with RedisTimeSeries's API.
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            kandi-support Support

              redistimeseries-py has a low active ecosystem.
              It has 93 star(s) with 19 fork(s). There are 9 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 7 open issues and 35 have been closed. On average issues are closed in 28 days. There are 4 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of redistimeseries-py is v1.4.5

            kandi-Quality Quality

              redistimeseries-py has 0 bugs and 26 code smells.

            kandi-Security Security

              redistimeseries-py has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              redistimeseries-py code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              redistimeseries-py is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              redistimeseries-py releases are available to install and integrate.
              Deployable package is available in PyPI.
              redistimeseries-py has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              redistimeseries-py saves you 154 person hours of effort in developing the same functionality from scratch.
              It has 642 lines of code, 62 functions and 4 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed redistimeseries-py and discovered the below as its top functions. This is intended to give you an instant insight into redistimeseries-py implemented functionality, and help decide if they suit your requirements.
            • Parse M_GET response
            • Convert a list to a dict
            • Parse M_M_Range response
            • Parse a range response
            • Return the version of redistime
            Get all kandi verified functions for this library.

            redistimeseries-py Key Features

            No Key Features are available at this moment for redistimeseries-py.

            redistimeseries-py Examples and Code Snippets

            No Code Snippets are available at this moment for redistimeseries-py.

            Community Discussions

            QUESTION

            Is Redis TimeSeries the right tool to capture candle sticks in stock prices
            Asked 2020-Aug-20 at 21:03

            I am currently trying to do a simple implementation for stock price candle sticks. Let's say we have a stock called XYZ. This stock receives a stream of prices (in no particular frequency), which (for example) looks like: XYZ: [10.2, 10.7, 12, 11 ....].

            The objective is to record some metrics for every minute that passes to reflect the state of that stock. A candle stick has metrics like Closing price (last known price within a minute), High Price (maximum price within a minute)...etc.

            One way I thought I can implement this is by using Redis TimeSeries. I considered this solution because I can create rules on the stream of prices, and every 60 seconds it would flush some aggregations (like: max, min, first..etc.) to a destination bucket.

            My current implementation using Redis TimeSeries (in Python) for candle sticks for each stock price looks something like this (using stock XYZ as example again) and no labels for simplicity:

            ...

            ANSWER

            Answered 2020-Jun-24 at 09:57
            1. There is no option to send more than one aggregation to a downsample series since each timestamp can hold a single. You can utilize labels to query all series at once.
            2. RedisTimeSeries would be a good solution as it will downsample your data at insertion so querying it would be super fast. It also uses double-delta compression which means your data will require lesser memory than some other solutions. You can even use retention to retire the source data if all you care about is the candlesticks.

            Source https://stackoverflow.com/questions/62530654

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install redistimeseries-py

            You can install using 'pip install redistimeseries-py' or download it from GitHub, PyPI.
            You can use redistimeseries-py like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            CLONE
          • HTTPS

            https://github.com/RedisTimeSeries/redistimeseries-py.git

          • CLI

            gh repo clone RedisTimeSeries/redistimeseries-py

          • sshUrl

            git@github.com:RedisTimeSeries/redistimeseries-py.git

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